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Enhanced Detection of Syringe Defects Based on an Improved YOLOv7-Tiny Deep-Learning Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The timely and accurate identification of syringe defects plays a key role in effectively improving product quality in production lines of syringes. In this article, we collected a dataset of image samples representing ...